research-article

Employing MEC in the Cloud-RAN: An Experimental Analysis

Authors:

Virgilios Passas,

Thanasis Korakis,

Leandros TassiulasAuthors Info & Claims

WirelessEdge '18: Proceedings of the 2018 on Technologies for the Wireless Edge Workshop

Pages 15 - 19

https://doi.org/10.1145/3266276.3266281

Published: 01 October 2018 Publication History

Abstract

5G network access is expected to deliver high performance with low-latency network connections for the end-users, suitable for a plethora of different applications, as well as add up to the network flexibility and manageability from the operator's perspective. In order to achieve low-latency, Multiple-access Edge Computing (MEC) is considered, whereas for achieving flexibility, the disaggregation of the base station elements and moving parts of their functionality to the Cloud is proposed. In this paper, we consider the case of disaggregated base stations based on the CU-DU paradigm, able to provision MEC functions in a per-packet and per-client basis, over real networks. We evaluate the placement of the MEC functions over the fronthaul interface or collocating them with the Core Network. We employ the OpenAirInterface platform and evaluate our MEC solution with dynamically adaptive video streams. Our results show significant gains for the service-to-UE path latency, complying with the requirements set for the 5G MEC operation.

References

[1]

3GPP TR 22.864 V15.0.0 (2016-09), 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Feasibility Study on New Services and Markets Technology Enablers - Network Operation; Stage 1 (Release 15), 3GPP, year = 2016,.

[2]

3GPP. “3GPP TS 38.401 V0.2.0 (2017-07), 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NG-RAN; Architecture description (Release 15)", 2017.

[3]

ETSI. “ETSI GS NFV-MAN 001 V1.1.1 (2014--12), Network Functions Virtualisation (NFV); Management and Orchestration ", 2014.

[4]

“Multi-access Edge Computing". {Online}, https://www.etsi.org/technologies-clusters/technologies/multi-access-edge-computing.

[5]

3GPP. “3GPP TS 38.470 V0.3.0 (2017-09), 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NG-RAN; F1 general aspects and principles (Release 15)", 2017.

[6]

A. Checko, H. L. Christiansen, Y. Yan, L. Scolari, G. Kardaras, M. S. Berger, and L. Dittmann. “Cloud RAN for mobile networks - a technology overview". IEEE Communications surveys & tutorials, 17(1), 2015.

[7]

I. Chih-Lin, J. Huang, Y. Yuan, S. Ma, and R. Duan. “NGFI, the xHaul". In Globecom Workshops (GC Wkshps), pages 1--6. IEEE, 2015.

[8]

N. Makris, P. Basaras, T. Korakis, N. Nikaein, and L. Tassiulas. “Experimental Evaluation of Functional Splits for 5G Cloud-RANs". In IEEE ICC, 2017.

[9]

N. Makris, C. Zarafetas, P. Basaras, T. Korakis, N. Nikaein, and L. Tassiulas. “Cloud-based Convergence of Heterogeneous RANs in 5G Disaggregated Architectures". In IEEE ICC, 2018.

[10]

3GPP. “3GPP TS 38.473 V15.1.1 (2018-04), 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NG-RAN; F1 application protocol (F1AP) (Release 15)", 2017.

[11]

F. Giust et. al. “ETSI White Paper No. 24: MEC Deployments in 4G and Evolution Towards 5G", 2018.

[12]

T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Dutta, and D. Sabella. “On multi-access edge computing: A survey of the emerging 5G network edge cloud architecture and orchestration". IEEE Communications Surveys & Tutorials, 19(3):1657--1681, 2017.

Digital Library

[13]

I. Chih-Lin, S. Han, Z. Xu, S. Wang, Q. Sun, and Y. Chen. “New paradigm of 5G wireless internet". IEEE Journal on Selected Areas in Communications, 34(3):474--482, 2016.

[14]

A. Reznik et. al. “ETSI White Paper No. 23: Cloud RAN and MEC: A Perfect Pairing", 2018.

[15]

N. Nikaein, M. K Marina, S. Manickam, A. Dawson, R. Knopp, and C. Bonnet. “OpenAirInterface: A flexible platform for 5G research". ACM SIGCOMM Computer Communication Review, 44(5):33--38, 2014.

Digital Library

[16]

“NITOS - Network Implementation Testbed using Open Source platforms.". {Online}, https://nitlab.inf.uth.gr/NITlab/.

Cited By

Yellas NBoumerdassi SCeselli AMaaz BSecci S(2022)Robust Access Point Clustering in Edge Computing Resource OptimizationIEEE Transactions on Network and Service Management10.1109/TNSM.2022.318685619:3(2738-2750)Online publication date: Sep-2022
https://doi.org/10.1109/TNSM.2022.3186856
Mahdi MAhmad AQassim QNatiq HSubhi MMahmoud M(2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
https://doi.org/10.3390/app11178117
Passas VMakris NNanis CKorakis T(2021)V2MEC: Low-Latency MEC for Vehicular Networks in 5G Disaggregated Architectures2021 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC49053.2021.9417468(1-6)Online publication date: 29-Mar-2021
https://doi.org/10.1109/WCNC49053.2021.9417468
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cover image ACM Conferences

WirelessEdge '18: Proceedings of the 2018 on Technologies for the Wireless Edge Workshop

October 2018

40 pages

ISBN:9781450359313

DOI:10.1145/3266276

General Chairs:
Leandros Tassiulas
Yale
,
D. Manjunath
IIT Bombay
,
Nikhil Karamchandani
IIT Bombay

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 October 2018

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MobiCom '18: The 24th Annual International Conference on Mobile Computing and Networking

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Cited By

Yellas NBoumerdassi SCeselli AMaaz BSecci S(2022)Robust Access Point Clustering in Edge Computing Resource OptimizationIEEE Transactions on Network and Service Management10.1109/TNSM.2022.318685619:3(2738-2750)Online publication date: Sep-2022
https://doi.org/10.1109/TNSM.2022.3186856
Mahdi MAhmad AQassim QNatiq HSubhi MMahmoud M(2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
https://doi.org/10.3390/app11178117
Passas VMakris NNanis CKorakis T(2021)V2MEC: Low-Latency MEC for Vehicular Networks in 5G Disaggregated Architectures2021 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC49053.2021.9417468(1-6)Online publication date: 29-Mar-2021
https://doi.org/10.1109/WCNC49053.2021.9417468
Yellas NBoumerdassi SCeselli ASecci S(2021)Complexity-Performance Trade-offs in Robust Access Point Clustering for Edge Computing2021 17th International Conference on the Design of Reliable Communication Networks (DRCN)10.1109/DRCN51631.2021.9477332(1-8)Online publication date: 19-Apr-2021
https://doi.org/10.1109/DRCN51631.2021.9477332
Tsourdinis TMakris NKorakis T(2021)Experimental evaluation of a Follow-me MEC Cloud-Native 5G network2021 IEEE 4th 5G World Forum (5GWF)10.1109/5GWF52925.2021.00076(394-399)Online publication date: Oct-2021
https://doi.org/10.1109/5GWF52925.2021.00076
Wang YWang JZhang WZhan YGuo SZheng QWang X(2021)A survey on deploying mobile deep learning applications: a systemic and technical perspectiveDigital Communications and Networks10.1016/j.dcan.2021.06.001Online publication date: Jun-2021
https://doi.org/10.1016/j.dcan.2021.06.001
Makris NPassas VNanis CKorakis T(2019)On Minimizing Service Access Latency: Employing MEC on the Fronthaul of Heterogeneous 5G Architectures2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)10.1109/LANMAN.2019.8847130(1-6)Online publication date: Jul-2019
https://doi.org/10.1109/LANMAN.2019.8847130
Passas VMakris NNanis CKorakis T(2019)MEC service placement over the Fronthaul of 5G Cloud-RANs2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)10.1109/LANMAN.2019.8847065(1-2)Online publication date: Jul-2019
https://doi.org/10.1109/LANMAN.2019.8847065

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